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Title: :  Hybrid Deep Learning Based DDoS Detection System Using Software Defined Networking
PaperId: :  20532
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 3 2023
DUI:    16.0415/IJARIIE-20532
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Arvind TDepartment of CSE, OU, Hyderabad, Telangana ,India
Prof.K.RadhikaDepartment of AI & DS, CBIT, Hyderabad, Telangana, India

Abstract

Computer Science and Engineering
SDN, DDoS, Deep Learning, Machine Learning, Ryu, Mininet.
The Software-Defined Networking (SDN) paradigm exhibits substantial potential, as it enables the centralized controller to dynamically configure and manage networks. The SDN paradigm's programmable and open characteristics have led to the emergence of novel security challenges, such as Distributed Denial of Service (DDoS) attacks. The impact of DDoS attacks can impede network services, diminish network efficiency, and result in significant harm to the overall network infrastructure in the realm of SDN. The utilization of machine learning and deep learning algorithms has become a prevalent method for detecting DDoS attacks, owing to their efficacy in analyzing voluminous data sets and detecting patterns or anomalies that signify the presence of an ongoing attack. The aim of this study is to create a dataset that is customized for SDN by incorporating the acknowledged features into a CSV file. This study introduces a novel technique for detecting DDoS attacks: the Hybrid Deep Learning Model-Based DDoS Detection System (HDL3DS). This model employs Autoencoder and Deep Neural Network techniques to detect DoS attacks with reliability. HDL3DS's performance was assessed and compared to that of other DL models, such as MLP, LSTM, and DNN. In accordance with the experimental findings, the proposed HDL3DS outperformed other models, obtaining a 99.98% accuracy rate.

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IJARIIE Arvind T, and Prof.K.Radhika. "Hybrid Deep Learning Based DDoS Detection System Using Software Defined Networking" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 3 2023 Page 3102-3112
MLA Arvind T, and Prof.K.Radhika. "Hybrid Deep Learning Based DDoS Detection System Using Software Defined Networking." International Journal Of Advance Research And Innovative Ideas In Education 9.3(2023) : 3102-3112.
APA Arvind T, & Prof.K.Radhika. (2023). Hybrid Deep Learning Based DDoS Detection System Using Software Defined Networking. International Journal Of Advance Research And Innovative Ideas In Education, 9(3), 3102-3112.
Chicago Arvind T, and Prof.K.Radhika. "Hybrid Deep Learning Based DDoS Detection System Using Software Defined Networking." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 3 (2023) : 3102-3112.
Oxford Arvind T, and Prof.K.Radhika. 'Hybrid Deep Learning Based DDoS Detection System Using Software Defined Networking', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, 2023, p. 3102-3112. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Hybrid_Deep_Learning_Based_DDoS_Detection_System_Using_Software_Defined_Networking_ijariie20532.pdf (Accessed : 17 May 2024).
Harvard Arvind T, and Prof.K.Radhika. (2023) 'Hybrid Deep Learning Based DDoS Detection System Using Software Defined Networking', International Journal Of Advance Research And Innovative Ideas In Education, 9(3), pp. 3102-3112IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Hybrid_Deep_Learning_Based_DDoS_Detection_System_Using_Software_Defined_Networking_ijariie20532.pdf (Accessed : 17 May 2024)
IEEE Arvind T, and Prof.K.Radhika, "Hybrid Deep Learning Based DDoS Detection System Using Software Defined Networking," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, pp. 3102-3112, May-Jun 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Hybrid_Deep_Learning_Based_DDoS_Detection_System_Using_Software_Defined_Networking_ijariie20532.pdf [Accessed : 17 May 2024].
Turabian Arvind T, and Prof.K.Radhika. "Hybrid Deep Learning Based DDoS Detection System Using Software Defined Networking." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 3 (17 May 2024).
Vancouver Arvind T, and Prof.K.Radhika. Hybrid Deep Learning Based DDoS Detection System Using Software Defined Networking. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 17 May 2024]; 9(3) : 3102-3112. Available from: https://ijariie.com/AdminUploadPdf/Hybrid_Deep_Learning_Based_DDoS_Detection_System_Using_Software_Defined_Networking_ijariie20532.pdf
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